ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
Alternatives · analytics tools
hoopr alternatives
The best hoopr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to hoopr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, hoopr shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About hoopr
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.
Velocity 0.0 · Last update 42m ago
Top 12 alternatives to hoopr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
gcube's recent releases are all packaging metadata, not simulation code
ANALYTICS
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ANALYTICS
ggstats keeps widening what a coefficient or Likert plot can be
ANALYTICS
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
ANALYTICS
State-space data simulation for R, filled in one function at a time
ANALYTICS
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
ANALYTICS
A ggplot2 inset-map extension that is now infrastructure for other packages
ANALYTICS
NSW boundary data for R, refreshed as the official sources move
ANALYTICS
Biodiversity impact indicators settle their vocabulary before 1.0
ANALYTICS
A dormant trajectory-inference wrapper wakes up for maintenance only
ANALYTICS
The temporal half of the stscl EDM pair, tracking its spatial sibling
hoopr vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| hoopr (baseline) | 0.0 | 0 | sports-databasketballapi-client | hoopR 3.0.0 moves every API backend to httr2 |
| fillpattern | 0.0 | 0 | ggplot2data-visualizationaccessibility | — |
| gcube | 0.0 | 0 | biodiversitysimulationoccurrence-cubes | — |
| cubist | 0.0 | 0 | machine-learningrule-based-modelstidymodels | — |
| ggstats | 0.0 | 0 | ggplot2data-visualizationlikert | — |
| ecodive | 0.0 | 0 | microbiomeecologydiversity-metrics | 2.0.0 expands to ~14 alpha and ~30 beta diversity metrics |
| simStateSpace | 0.0 | 0 | state-space-modelssimulationlongitudinal-data | — |
| rollama | 0.0 | 0 | local-llmollamatext-annotation | rollama 0.3.0 adds logprobs, caching and batched queries |
| ggmapinset | 0.0 | 0 | ggplot2geospatialinset-maps | — |
| nswgeo | 0.0 | 0 | geospatialaustraliapublic-health | — |
| impIndicator | 0.0 | 0 | biodiversityinvasive-speciesoccurrence-cubes | — |
| dynwrap | 0.0 | 0 | single-celltrajectory-inferencebioinformatics | — |
| tEDM | 0.0 | 0 | causal-inferencetime-seriesempirical-dynamic-modeling | — |
The 12 best hoopr alternatives, in depth
1. fillpattern · velocity 0.0
Pattern fills for ggplot2, hardened against the ways users write sizes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full fillpattern trajectory → · Compare hoopr vs fillpattern →
2. gcube · velocity 0.0
Gcube's recent releases are all packaging metadata, not simulation code.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. cubist · velocity 0.0
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, cubist focuses on machine learning, rule based models and tidymodels.
cubist and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. ggstats · velocity 0.0
Ggstats keeps widening what a coefficient or Likert plot can be.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, ggstats focuses on ggplot2, data visualization and likert.
ggstats and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. ecodive · velocity 0.0
Ecodive rebuilt itself into a broad diversity-metric library, breaking as it went.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “2.0.0 expands to ~14 alpha and ~30 beta diversity metrics”.
Where hoopr leans on sports data, basketball and api client, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. simStateSpace · velocity 0.0
State-space data simulation for R, filled in one function at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full simStateSpace trajectory → · Compare hoopr vs simStateSpace →
7. rollama · velocity 0.0
Rollama turns a local-LLM wrapper into an instrument for reproducible annotation.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “rollama 0.3.0 adds logprobs, caching and batched queries”.
Where hoopr leans on sports data, basketball and api client, rollama focuses on local llm, ollama and text annotation.
rollama and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. ggmapinset · velocity 0.0
A ggplot2 inset-map extension that is now infrastructure for other packages.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggmapinset trajectory → · Compare hoopr vs ggmapinset →
9. nswgeo · velocity 0.0
NSW boundary data for R, refreshed as the official sources move.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, nswgeo focuses on geospatial, australia and public health.
nswgeo and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. impIndicator · velocity 0.0
Biodiversity impact indicators settle their vocabulary before 1.0.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full impIndicator trajectory → · Compare hoopr vs impIndicator →
11. dynwrap · velocity 0.0
A dormant trajectory-inference wrapper wakes up for maintenance only.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. tEDM · velocity 0.0
The temporal half of the stscl EDM pair, tracking its spatial sibling.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hoopr leans on sports data, basketball and api client, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and hoopr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to hoopr?
The top hoopr alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ggstats, ecodive, ranked by recent ship velocity.
How is this list of hoopr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare hoopr directly with one of these alternatives?
Yes — every card has a "Compare with hoopr" link to a side-by-side /compare page.